MétaCan
Menu
Back to cohort
Record W2066719176 · doi:10.3138/carto.47.2.92

Mapping Indigenous Perspectives in the Making of the Cybercartographic Atlas of the Lake Huron Treaty Relationship Process: A Performative Approach in a Reconciliation Context

2012· article· en· W2066719176 on OpenAlexafffundvenue
Stephanie Pyne, D. R. Fraser Taylor

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerformative utteranceIndigenousTreatyAtlas (anatomy)Context (archaeology)Process (computing)ColonialismCoproductionSociologyEpistemologyPolitical scienceLawHistoryComputer scienceSocial scienceArchaeologyEcologyPhilosophy

Abstract

fetched live from OpenAlex

This article discusses a two-pronged approach to designing and developing an online, interactive multimedia – cybercartographic – atlas that combines critical academic perspectives with Anishinaabe approaches to understanding in order to “tell the story” of the Robinson Huron Treaty process in a way intended to enhance awareness of Anishinaabe perspectives and expose the epistemological and ontological roots of colonialism. Building on the work that created the Treaties Module of the Living Cybercartographic Atlas of Indigenous Perspectives and Knowledge, this atlas project continues to reflect the comprehensiveness and multidimensionality of Robinson Huron Treaty–based relationship processes. The article focuses on some of the performative aspects of this atlas project, such as iterative processes and spatializing history, that contribute to its success in reflecting Anishinaabe perspectives and providing the basis for a richer understanding of the treaty process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.325
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicGeographic Information Systems StudiesFrench-language works237,207